Title: Detecting microarray data supported microRNA-mRNA interactions

Authors: Hui Liu, Shuigeng Zhou, Jihong Guan

Addresses: School of Computer Science, Fudan University, Shanghai, China; School of Information Science and Engineering, Jiangsu Polytechnic Institute, Jiangsu, China. ' School of Computer Science, Fudan University, Shanghai, China; Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China. ' Department of Computer Science and Technology, Tongji University, Shanghai, China

Abstract: MicroRNAs (miRNAs) have been recently emerged as a novel class of endogenous post-transcriptional regulators in a variety of animal and plant species. Identifying bona fide miRNA-mRNA interactions is an important but challenging task for our insight into the regulatory mechanism of miRNAs. In this paper, we employ a variant of affinity propagation algorithm customised for bipartite graph to reveal the miRNA-mRNA interactions supported by microarray data. Our extensive experiments on human data sets show that our method performs effectively in screening the miRNA-mRNA interactions predicted by sequence-based approaches to reduce the number of candidate miRNA targets using microarray data.

Keywords: microRNA; target genes; bipartite graphs; microarrays; mRNA; endogenous post-transcriptional regulators; affinity propagation bioinformatics; miRNA-mRNA interactions; miRNA.

DOI: 10.1504/IJDMB.2010.037545

International Journal of Data Mining and Bioinformatics, 2010 Vol.4 No.6, pp.639 - 655

Received: 28 Aug 2009
Accepted: 05 Oct 2009

Published online: 16 Dec 2010 *

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